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Principal Associate, Security Intelligence Analyst

Company: Capital One

Location: Washington DC

Posted Feb 01, 2025

Capital One's Global Workplace Services GWS team is seeking a Principal Associate Security Intelligence Analyst. The role involves collecting, analyzing, and interpreting security risk intelligence information to support the Protective Intelligence program. Responsibilities include providing near real-time intelligence support, conducting comprehensive risk assessments, and contributing to the production of intelligence products. The ideal candidate will have a high level of skill in OSINT techniques, experience in intelligence analysis, and the ability to work independently and proactively. The role requires at least 3 years of experience in intelligence gathering, intelligence database search tools, intelligence analysis, or a combination of the three, and at least 3 years of experience with open source intelligence data collection, data mining, and investigative techniques. The minimum annual salary for this role is $102,700 in McLean, VA.

Frequently Asked Questions

What typical salary ranges can I expect at different seniority levels in Open Continuous Announcement roles?
In the U.S., Junior engineers (0‑2 years) earn roughly $90,000‑$110,000. Mid‑level (3‑5 years) ranges from $130,000‑$160,000, while Senior or Lead engineers (5+ years) command $170,000‑$210,000, with variations based on location, company size, and cloud‑centric responsibilities.
What core skills and certifications are essential for these roles?
Key technical proficiencies include Kafka or Pulsar, Flink, Spark Structured Streaming, Kinesis, Docker, Kubernetes, Terraform, and cloud platforms (AWS, GCP, Azure). Strong data‑modeling, SQL/SQL‑like streaming query languages, and observability tools (Prometheus, Grafana) are mandatory. Certifications such as AWS Certified Data Analytics, Google Professional Data Engineer, and Confluent Certified Developer boost credibility.
Is remote work possible for Open Continuous Announcement positions?
Yes—many employers support fully remote or hybrid setups. Teams rely on cloud‑based streaming services, distributed version control, and CI/CD pipelines to maintain real‑time data flows, allowing developers to contribute from anywhere while meeting strict latency SLAs.
What career progression paths exist in this field?
Typical trajectories start with Data Engineer or Streaming Engineer, advance to Senior Engineer or Lead Streaming Architect, then move into Engineering Manager, Director of Data & Analytics, or VP of Data & Engineering. Specialized tracks include Platform Engineer, Solutions Architect, or AI‑Ops Engineer focused on real‑time personalization.
What are the current industry trends impacting Open Continuous Announcement?
Trends include serverless streaming (e.g., Kinesis Data Streams), edge computing for ultra‑low latency, AI‑driven content personalization, multi‑cloud streaming architectures, and enhanced observability with distributed tracing. Companies are also adopting DevSecOps practices for streaming pipelines to reduce deployment risk.

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